Active-Model-Based Precise Twist Steering for Autonomous Robotic Flexible Endoscope

In natural orifice transluminal endoscopic surgery (NOTES), the twist steering of the flexible endoscope plays an important role in tracking the preoperative path during cavity intervention. However, the flexible endoscope’s twisting motion has high nonlinearity and uncertainty, which bring challenges for accurate modeling and controller design. In this study, a novel active modeling-based improved control (AMIC) scheme is proposed, which achieves precise control of the robotic flexible endoscope’s twisting motion. First, the Coleman-Hodgdon (C-H) model is modified to serve as the reference model to describe the twist steering. Then, the model error in the C-H model is introduced as an extended state. Upon this, an active modeling algorithm is developed by using the unscented Kalman filter. The proposed model estimates both the twisting angle and the model error in real time. Based on the proposed model, the AMIC strategy is developed to enhance the tracking performance of a proportional-integral-derivative (PID) controller for a reference trajectory. Finally, comparative experiments were conducted on a self-built robotic flexible endoscope under various insertion depths and tip-part configurations. Compared to the PID controller, the experimental results demonstrate that the proposed AMIC scheme achieves a 63.1% reduction in tracking error under a sinusoidal trajectory.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Medical Robotics and Bionics
Published
2025-03-12
DOI
https://doi.org/10.1109/tmrb.2025.3550673
Citations
2
Primary Topic
Gastrointestinal Bleeding Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
3.62

Funders

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article

Active-Model-Based Precise Twist Steering for Autonomous Robotic Flexible Endoscope

Yanding Qin, Yongchun Fang, Xiangyu Wang, Ningbo Yu et al.
2 citations
IEEE Transactions on Medical Robotics and Bionics
Gastrointestinal Bleeding Diagnosis and Treatment
3.62
article

Active-Model-Based Precise Twist Steering for Autonomous Robotic Flexible Endoscope

Yanding Qin, Yongchun Fang, Xiangyu Wang, Ningbo Yu, Chong Liu, Jianda Han, Hongpeng Wang
article en
2 citations

Abstract

In natural orifice transluminal endoscopic surgery (NOTES), the twist steering of the flexible endoscope plays an important role in tracking the preoperative path during cavity intervention. However, the flexible endoscope’s twisting motion has high nonlinearity and uncertainty, which bring challenges for accurate modeling and controller design. In this study, a novel active modeling-based improved control (AMIC) scheme is proposed, which achieves precise control of the robotic flexible endoscope’s twisting motion. First, the Coleman-Hodgdon (C-H) model is modified to serve as the reference model to describe the twist steering. Then, the model error in the C-H model is introduced as an extended state. Upon this, an active modeling algorithm is developed by using the unscented Kalman filter. The proposed model estimates both the twisting angle and the model error in real time. Based on the proposed model, the AMIC strategy is developed to enhance the tracking performance of a proportional-integral-derivative (PID) controller for a reference trajectory. Finally, comparative experiments were conducted on a self-built robotic flexible endoscope under various insertion depths and tip-part configurations. Compared to the PID controller, the experimental results demonstrate that the proposed AMIC scheme achieves a 63.1% reduction in tracking error under a sinusoidal trajectory.

IEEE Transactions on Medical Robotics and BionicsVol. 7(2)
Nankai University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 10%
Gastrointestinal Bleeding Diagnosis and Treatment
3.62
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